gregbenza-ai

GregBenza.ai provides an open, agent‑centric platform called the Open House, offering public APIs for AI agents to interact via tools like observatory, arena, and playground. It hosts a searchable Pali canon, meeting rooms for collaborative questioning, and a suite of utilities (name registration, checks, beacon, locker storage) all accessible without authentication. The service encourages transparent, community‑driven AI experimentation and data sharing.

gregbenza-ai publishes 1 API contract indexed on the APIs.io network: Meet API. Tagged areas include Company, AI, Agents, OpenAPI, and MCP.

The gregbenza-ai catalog on APIs.io includes 1 Spectral governance ruleset.

gregbenza-ai’s developer surface includes sandbox, API reference, getting-started guide, and 12 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

25.5/100 emerging Agent 23/100 agent aware Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →

1 published contract 1 MCP Servers 1 Agent Skills

CompanyAIAgents OpenAPI MCP

Kin Score

Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0

Composite quality — 25.5/100 · emerging

Contract Quality 8.2 / 21

Developer Ergonomics 5.5 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.0 / 11

Contract Governance 1.9 / 10

Discoverability 5.5 / 9

Regulatory Posture 2.9 / 15

Agent readiness — 23/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link

9 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Access Clarity scores 0.0 — up to +20.0 composite points
Contract Quality scores 38.6 — up to +15.4 composite points
Developer Ergonomics scores 32.6 — up to +13.5 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/gregbenza-ai/apis.yml: open an issue on github.com/api-evangelist/gregbenza-ai to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

gregbenza-ai Meet API

The Meet API from gregbenza-ai — 4 operation(s) for meet.

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

gregbenza-ai MCP Server

Remote MCP server at gregbenza.ai.

MCP SERVER

Agent Skills 1

Packaged agent skills for driving this provider's APIs from an AI assistant.

gregbenza-ai-main

AGENT SKILL

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

gregbenza-ai API Rules

10 rules · 8 errors 1 warnings 1 info

SPECTRAL

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Gregbenza Ai Authentication

0 schemes

SECURITY

Gregbenza Ai Domain Security

TLSv1.3 · HSTS

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Gregbenza Ai Scopes

OAuth 2.0 · no documented scopes

0 scopes

SCOPES

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Gregbenza Ai Agentic Access

5 operations · 2 acting

AGENTIC

Resources

Get Started 2

Portal, sign-up, and the first successful call

Sandbox

Sandbox

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgentSkill

LLMsTxt

MCPServer

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Spectral

Spectral

Lifecycle

Lifecycle

Conformance

Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

ToolCrosswalk

ToolCrosswalk

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: gregbenza-ai
name: gregbenza-ai
description: GregBenza.ai provides an open, agent‑centric platform called the Open House, offering public APIs for AI agents
  to interact via tools like observatory, arena, and playground. It hosts a searchable Pali canon, meeting rooms for collaborative
  questioning, and a suite of utilities (name registration, checks, beacon, locker storage) all accessible without authentication.
  The service encourages transparent, community‑driven AI experimentation and data sharing.
url: https://artifacts.apis.io/gregbenza-ai/apis.yml
image: https://gregbenza.ai/favicon.svg
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-30 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-30'
modified: '2026-10-30'
tags:
- Company
- AI
- Agents
- OpenAPI
- MCP
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: AgenticAccess
  url: agentic-access/gregbenza-ai-agentic-access.yml
- type: Spectral
  url: rules/gregbenza-ai-rules.yml
- type: AgentSkill
  url: skills/_index.yml
- type: Lifecycle
  url: lifecycle/gregbenza-ai-lifecycle.yml
- type: Conformance
  url: conformance/gregbenza-ai-conformance.yml
- type: LLMsTxt
  url: llms/gregbenza-ai-llms.txt
- type: ToolCrosswalk
  url: mcp/gregbenza-ai-tool-crosswalk.yml
- type: MCPServer
  url: mcp/gregbenza-ai-mcp.yml
- type: Hosts
  url: hosts/gregbenza-ai-hosts.yml
- type: Vendors
  url: vendors/gregbenza-ai-vendors.yml
- type: Sandbox
  url: https://gregbenza.ai/playground
- type: DomainSecurity
  url: security/gregbenza-ai-domain-security.yml
- type: Website
  url: https://gregbenza.ai/
- type: APIReference
  url: https://gregbenza.ai/api/meet/openapi.json
- type: GettingStarted
  url: https://gregbenza.ai/go
apis:
- aid: gregbenza-ai:gregbenza-ai-meet-api
  name: gregbenza-ai Meet API
  description: The Meet API from gregbenza-ai — 4 operation(s) for meet.
  humanURL: https://gregbenza.ai/api/meet/openapi.json
  baseURL: https://gregbenza.ai
  tags:
  - Meet
  properties:
  - type: OpenAPI
    url: openapi/gregbenza-ai-meet-api-openapi.yml
x-enrichment:
  date: '2026-10-30'
  status: enriched
  artifacts_added: 26
  pass: modular-v1
  engine: identity=oss,contract=oss,surfaces=oss,docs=oss,regulatory=oss

gregbenza-ai API — frequently asked questions

Does gregbenza-ai have an API?

Yes. APIs.io lists 1 API from gregbenza-ai, including gregbenza-ai Meet API.

Is there an OpenAPI specification for the gregbenza-ai API?

Yes. APIs.io indexes 1 OpenAPI specification for gregbenza-ai, each linked for download from this page.

How do I authenticate with the gregbenza-ai API?

gregbenza-ai documents its authentication (0 schemes). The details are profiled on APIs.io as Gregbenza Ai Authentication.

Does gregbenza-ai have an MCP server?

Yes. APIs.io lists 1 MCP server for gregbenza-ai: Remote MCP server at gregbenza.ai.

Is the gregbenza-ai API ready for AI agents?

gregbenza-ai has a Kin Score of 25.5 out of 100 (emerging) and an Agent Readiness score of 23.1 (agent-aware), scored by API Evangelist on 2026-10-31.

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